↓ Skip to main content

Genetic Differentiation of North-East Argentina Populations Based on 30 Binary X Chromosome Markers

Overview of attention for article published in Frontiers in Genetics, June 2018
Altmetric Badge

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genetic Differentiation of North-East Argentina Populations Based on 30 Binary X Chromosome Markers
Published in
Frontiers in Genetics, June 2018
DOI 10.3389/fgene.2018.00208
Pubmed ID
Authors

Gabriela P. Di Santo Meztler, Santiago del Palacio, María E. Esteban, Isaías Armoa, Carina F. Argüelles, Cecilia I. Catanesi

Abstract

Alu insertions, INDELs, and SNPs in the X chromosome can be useful not only for revealing relationships among populations but also for identification purposes. We present data of 10 Alu insertions, 5 INDELs, and 15 SNPs of X-chromosome from three Argentinian north-east cities in order to gain insight into the genetic diversity of the X chromosome within this region of the country. Data from 198 unrelated individuals belonging to Posadas, Corrientes, and Eldorado cities were genotyped for Ya5DP62, Yb8DP49, Ya5DP3, Ya5NBC37, Ya5DP77, Ya5NBC491, Ya5DP4, Ya5DP13, Yb8NBC634, and Yb8NBC102 Alu insertions, for MID193, MID1705, MID3754, MID3756 and MID1540 Indels and for rs6639398, rs5986751, rs5964206, rs9781645, rs2209420, rs1299087, rs318173, rs933315, rs1991961, rs4825889, rs1781116, rs1937193, rs1781104, rs149910, and rs652 SNPs. No deviations from Hardy-Weinberg equilibrium were observed for Posadas and Corrientes. However, Eldorado showed significant values, and it was found to have an internal substructuring with two groups of different origin, one showing higher similarity with European countries, and the other with more similarities to Posadas and Corrientes. Fst pairwise genetic distances emerged for some markers among the studied populations and also between our data and those from other countries and continents. Of particular interest, Alu insertions demonstrated the most differences, and could be of use in ancestry studies for these populations, while INDELs and SNPs variation were informative for differentiation within the country.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Researcher 2 29%
Student > Master 2 29%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Arts and Humanities 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Medicine and Dentistry 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2018.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Frontiers in Genetics
#5,531
of 12,141 outputs
Outputs of similar age
#208,893
of 328,585 outputs
Outputs of similar age from Frontiers in Genetics
#74
of 120 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,141 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.